Darius’s career started in management consultancy but he felt he couldn’t let go of his “geeky” passion for data. Now the two skill sets work hand-in-hand in his role as Senior Data Science Consultant. Let’s hear more from Darius…
What brought you to Starcount?
I was previously a management consultant at Accenture, helping clients design and implement strategies that would allow them to grow quickly or improve operational efficiencies. However, I really missed having the opportunity to apply my technical (geeky) skillset to client challenges, in order to build data-led solutions. That’s when I came across Starcount. Starcount offered me the opportunity to continue to develop my data science skills, apply them to real-life client problems whilst working alongside the smartest people in a super cool start-up environment. It was an immediate winner!
Tell us more about what your role is at Starcount?
I’m a Senior Data Science Consultant, currently working on a project with one of the most prominent high street retailers in the UK. We are using vast amounts of transactional and social data to help them understand who their customers are, how they shop and what their passions and motivations are in their day-to-day lives. This, in turn, enables us to help optimise the client’s range, improve their price and promotion strategy and re-design how they communicate with their customers. The role is perfect for me as it allows me to combine both my data science and consulting skillset in the right way.
What do you think gives Starcount a competitive advantage in the current market?
There are two things that give Starcount a competitive edge. The first is that the company is led by two of the world’s Data Science in business pioneers, Edwina and Clive. Their expertise and guidance help us be the best in the market. The second is that we are able to combine transactional data with social data in order to build a 360-degree view of the customer. We can help a client understand how a customer shops their stores and what drives them in other parts of their lives. That may be making the world a better place through charity or looking their best by engaging with top fashion brands, or both. Only the data can tell.
What did you want to grow up to be when you were younger?
A banker, how boring. Glad that didn’t work out…
What advice would you give to those looking to follow in your footsteps?
Take the leap! You’ll learn from it either way. Taking the risk in switching from a safe, traditional, multinational consultancy to the relatively new and unknown world of Data Science was probably the best career decision I’ve ever made!